.

README.md

@@ -10,36 +10,25 @@ pinned: false
 license: mit
 ---
 
-# Music Classification with MIT's AST Model 🎵
+# Audio Classification App
 
-This Hugging Face Space demonstrates audio classification using MIT's Audio Spectrogram Transformer (AST) model. The model can identify various types of music, instruments, and sounds in audio files.
+This is an audio classification application that uses the MIT AST (Audio Spectrogram Transformer) model to classify audio files. The model can recognize various sounds and music categories from the AudioSet dataset.
 
 ## Features
-
-- Simple, user-friendly interface
-- Support for multiple audio formats (WAV, MP3, OGG, FLAC)
-- Top-5 predictions with confidence scores
-- Real-time processing
-
-## How to Use
-
-1. Click the "Upload Music File" button or drag and drop an audio file
-2. Wait a few seconds for the model to process the audio
-3. View the classification results with confidence scores
-
-## Model Details
-
-This app uses the `MIT/ast-finetuned-audioset-10-10-0.4593` model, which is trained on AudioSet and can recognize a wide variety of sounds and music styles. The model converts audio into spectrograms and uses a transformer architecture to classify the audio content.
-
-## Technical Notes
-
-- The model processes audio at 16kHz
-- Results show top 5 predictions with confidence scores
-- Processing is done on Hugging Face's infrastructure
-- No local installation required
-
-## Credits
-
-- Model: [MIT AST](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593)
-- Interface: Gradio
-- Deployment: Hugging Face Spaces
+- Simple web interface for audio file upload
+- Real-time classification using Hugging Face's AST model
+- Displays classification results in JSON format
+
+## Usage
+1. Open the web interface
+2. Upload an audio file (supports various formats including MP3, WAV, etc.)
+3. Wait for the classification results
+4. View the predicted categories and their confidence scores
+
+## Technical Details
+- Built with Gradio for the web interface
+- Uses Hugging Face's AST model (MIT/ast-finetuned-audioset-10-10-0.4593)
+- Deployed on Hugging Face Spaces
+
+## Requirements
+The required packages are listed in `requirements.txt`

requirements.txt

@@ -5,3 +5,4 @@ torchaudio>=2.1.2
 numpy>=1.26.2
 accelerate>=0.25.0
 librosa>=0.10.1
+requests>=2.31.0